Electromagnetic properties of graphene aerogel fiber composites assisted by machine learning

High-performance graphene composites meet the crucial demand for electromagnetic protection and radar stealth applications. However, traditional research methods are time-consuming and labor-intensive, obstructing their engineering applications. Herein, taking graphene aerogel fiber composites as an example, the simulation optimization and machine learning are combined to explore electromagnetic properties of graphene aerogel fiber composites. After optimization, the microwave absorption bandwidth of graphene aerogel fiber composites significantly increased to 440% and an accuracy radar cross section (RCS) prediction system is improved over 95%. Additionally, this graphene aerogel fiber feathers unique core–shell structure, which synergistically achieves multifunction such as lightweight, thermal insulating, and mechanically strong. This study provides a new strategy for the design and engineering applications of multifunctional composites.